# Vercel MCP Adapter

> Use this tool when you need to enable seamless real-time communication between applications and AI models, or require custom integration and multiple transport options for Next.js applications. It solves problems related to real-time data exchange and model updates, supporting use cases like dynamic content generation and personalized user experiences. The Vercel MCP Adapter takes in application data and AI model inputs, outputting synchronized and contextualized information through the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/brunobenavent-mcp-vercel  
JSON: https://api.skillsregistry.net/v1/skills/brunobenavent-mcp-vercel

## Description

Enables real-time communication between applications and AI models using the Model Context Protocol, supporting features like custom tools and multiple transport options for Next.js applications.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gs7hzrkvkp)
- **Repository:** <https://github.com/brunobenavent/mcp-vercel>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "brunobenavent-mcp-vercel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brunobenavent-mcp-vercel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brunobenavent-mcp-vercel/pull`

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